Lea G. Hansen

This study engineering yeast to produce kratom monoterpene indole alkaloids through synthetic pathway reconstruction and optimization, achieving a titer of ~290 µg/L.

The paper introduces a model called CSNN that uses network homophily to improve in-distribution predictions of drug-target interactions for human GPCRs.

The paper introduces teemi, an open-source platform for bioengineering that supports simulation, data integration, and machine learning for metabolic pathway design under FAIR principles.